Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
2222
Single Precision Score
8524
Half Precision Score
12523
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | FoxRunTime |
| Upload Date | February 05 2026 06:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-14N1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1063
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (Q)
|
56% |
5496
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3491
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2859
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
29908
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
65374
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
100% |
5377
426.5 IPS |
|
|
Object Detection (Q)
|
87% |
8892
713.6 IPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
14030
166.7 IPS |
|
|
Face Detection (Q)
|
100% |
24704
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3497
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15867
122.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30256
235.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9122
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45110
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83298
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12241
452.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20031
741.8 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1832
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3725
64.2 IPS |
